Consider two exponentially distributed random variables X and Y, bothhaving a mean of 0.50. Let Z = X+ Y and r be the correlation coefficientbetween X and Y. If the variance of Z equals 0, then the value of r is- (round off to 2 decimal places).

HERE GIVEN FOR VARIABLE X AND Y MEAN=0.5 AND BOTH ARE EXPONENTIALLY DISTRIBUTED SO…

Answered: between X and Y. If the variance of Z…

MATLAB: An Introduction with Applications

6th Edition

ISBN:9781119256830

Author:Amos Gilat

Publisher:Amos Gilat

Chapter1: Starting With Matlab

Section: Chapter Questions

Problem 1P

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I’m taking a statistics and probability class. Please get this correct because I want to learn. I have gotten wrong answers on here before
For variables X and Y we have that the correlation between them is 0.9. Also the standard deviation of Y is 8, while the standard deviation of X is 2. What is the slope of the regression equation that attempts to predict Y from X? Use two decimal places in your answer. Your Answer:
Which of the following is not one of the uses of a scatter plot and regression line a. to estimate the average y at a specific value of x. b. All three are uses of the scatterplot and regression line c. to determine if a change in x causes a change in y d. to predict y at a specific value of x.
Find the new data point (x,y) in which x=2 from the data points (1,3) and (4,12)
Calculate the coefficient of variation between X and Y from the following data: 3 4. 6. Y 9. 10 12 11 13 14 16 重5
21. Which of the following statements is true regarding the sources of variation present in an analysis of regression? SSy is partitioned into variation explained by the regression model and residual variation. If most of the variability in Y is associated with residual variation, then X predicts Y. There are three sources of variation in an analysis of regression: regression variance, residual variance, and error variance. Regression variation measures variability in X, whereas residual variation measures variability in Y.
8. The R-squared, or coefficient of determination, from this regression is 0.844. Interpret the R-squared.
11. For temperature (x) and number of ice cream cones sold per hour (y). (65, 8), (70, 10), (75, 11), (80,13), (85, 12), (90, 16). Interpret the coefficient of determination. Optional Answers: 1. 88.2% of the variability in the number of cones sold is explained by the least-squares regression model. 2. 93.9% of the variability in the number of cones sold is explained by the least-squares regression model. 3. 88.2% of the variability in the temperature is explained by the least-squares regression model. 4. 93.9% of the variability in the temperature is explained by the least-squares regression model.
If X has a mean μ and variance σ and Y = aX+b where a and b are constants: Find the mean, variance, and correlation coefficient between X and Y.

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between X and Y. If the variance of Z equals 0, then the value of r is (round off to 2 decimal places).